Stop Fraud Before It Starts with AI-Powered Document Screening

DocuVeritas uses advanced machine learning, computer vision, and multi-layer forensic analysis to detect forged documents and fake identities in real time — protecting your business from fraud, identity theft, and regulatory risk.

🔍 Try Live Demo Learn More →
0 Documents Verified
0 Detection Accuracy
0 Countries Covered
✓ MRZ Valid ◉ Scanning... ✓ Hologram OK
Capabilities

Comprehensive Document & Identity Screening

Our AI engine combines multiple analytical layers to deliver industry-leading fraud detection accuracy across 6,500+ document types.

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Forensic Document Analysis

Deep pixel-level examination of fonts, microprinting, security threads, watermarks, and substrate composition to detect physical forgeries.

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MRZ & Barcode Validation

Automated parsing and checksum verification of Machine-Readable Zones (ICAO 9303), PDF417 barcodes, and QR codes against official standards.

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AI Fraud Detection

Deep learning models trained on 50M+ document samples detect tampering, photo substitution, and digital manipulation invisible to the human eye.

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Facial Biometric Matching

Compare document photos to selfies with 99.4% accuracy. Includes liveness detection and deepfake/GAN image detection.

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Cross-Reference Intelligence

Real-time checks against global watchlists, sanctions databases, PEP lists, and fraud registries across 180+ countries.

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Risk Scoring & Analytics

Comprehensive risk scores with explainable AI — every flag comes with clear reasoning and supporting evidence for audit trails.

Interactive Demo

Try DocuVeritas Now

Experience our screening engine with pre-loaded sample documents and identity profiles. No sign-up required — results are simulated for demonstration.

Document Authenticity Screening

Upload your own document or select a sample below to run a full forensic analysis.

📤

Upload Document for Verification

Drag & drop or click to select

Supports: JPG, PNG, PDF (Max 10MB)

— OR TRY A SAMPLE DOCUMENT —
🛂
US Passport
Genuine Document
AUTHENTIC
🛂
UK Passport
Forged Document
FRAUDULENT
🪪
CA Driver's License
Suspicious Document
SUSPICIOUS
🆔
German ID Card
Genuine Document
AUTHENTIC
Extract Data Validate MRZ Security Features AI Analysis Generate Report
✓

Document Authentic

Confidence Score: 96%

VERIFIED
96% Score

SARAH M. JOHNSON

United States of America — C04567891

🔍 Verification Checks

📋 Document Metadata

Identity Risk Assessment

Enter identity details or use a pre-loaded profile to run KYC/AML screening.

Quick-fill sample profiles:

Running KYC/AML checks...

John Doe

john.doe@email.com

92% LOW RISK

⚠️ Risk Flags

📋 Verification History

Facial Biometric Matching

Select a scenario to simulate face comparison between a document photo and a selfie.

👤 ↔ 👤
Same Person
Document photo matches selfie
EXPECTED: MATCH
👤 ↔ 👥
Different People
Selfie doesn't match document
EXPECTED: MISMATCH
👤 ↔ 🤖
Deepfake Attack
AI-generated synthetic face
EXPECTED: DEEPFAKE

Analyzing facial biometrics...

MATCH

Similarity Score: 98.7%

MATCH

🔍 Analysis Breakdown

Batch Document Processing

Process multiple documents at once. Click below to simulate scanning a batch of 8 documents through our pipeline.

Processing batch...

ID Document Type Score Status
Process

How DocuVeritas Works

From document upload to verified result in under 5 seconds — our four-stage pipeline ensures thorough yet rapid screening.

1

Upload / Capture

Upload a document image or capture it via webcam. Our pre-processor corrects skew, lighting, and resolution automatically.

2

Data Extraction

OCR and MRZ parsers extract all text fields, barcodes, and embedded data. The document type and issuing country are auto-classified.

3

Multi-Layer Analysis

AI models run 30+ forensic checks: font analysis, security feature detection, photo integrity, cross-field validation, and database lookups.

4

Verdict & Report

A confidence score and detailed report are generated with pass/fail per check, flagged anomalies, and recommended actions.

0 Documents Verified
0 Document Types Supported
0 Countries Covered
0 Enterprise Clients
Analytics

Real-Time Screening Dashboard

Monitor all screening activity, flag trends, and compliance metrics from a single unified dashboard.

📋 Recent Screening Activity

Document Date Score Status
US Passport — S. Johnson Sep 23, 2026 96% Authentic
UK Passport — J. Williams Sep 23, 2026 18% Fraudulent
CA DL — M. Chen Sep 22, 2026 42% Suspicious
German ID — A. Mueller Sep 22, 2026 94% Authentic
French Passport — L. Dubois Sep 21, 2026 91% Authentic
Brazil ID — R. Santos Sep 21, 2026 55% Suspicious

📊 Threat Distribution (This Week)

62% Authentic
18% Suspicious
12% Forged
8% Expired

🎯 Top Fraud Indicators

Photo Manipulation 34%
MRZ Mismatch 28%
Missing Security Features 22%
Data Inconsistency 16%
Under The Hood

Technology Stack

Built on cutting-edge AI/ML technologies and industry-standard security protocols.

🧠

Deep Learning

CNN & Vision Transformer models

👁️

Computer Vision

OpenCV & custom pipelines

📝

OCR Engine

Tesseract + custom MRZ parser

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Encryption

AES-256 & end-to-end TLS

☁︚

Cloud Infrastructure

AWS/GCP with auto-scaling

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Real-Time Processing

Sub-5-second verification

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API Integration

RESTful & GraphQL endpoints

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Explainable AI

SHAP & LIME interpretability

The Team

Built by Team CodeBusters

Team CodeBusters is a group of talented students from Poornima College of Engineering (Batch: 2026-30) who created this prototype for Smart India Hackathon (SIH) 2026.

DR

Deepak Rathore

Team Leader

Project Management & Full-Stack Development

YT

Yatin Thenua

Tech Lead

AI/ML Architecture & Computer Vision

NY

Nagesh Yadav

Tech Backup

Backend Development & Database Management

VM

Vishal Makhija

Frontend Developer

UI/UX Design & Responsive Implementation

NS

Nandhini Saini

QA & Testing

Testing, Validation & User Feedback

MA

Mahi Agarwal

Documentation & Research

Technical Documentation & SIH Coordination

Get In Touch

Contact Us

Have questions about DocuVeritas? Reach out to our team for inquiries, partnerships, or support.

×

Contact Information

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Mobile: [Not Disclosed]

We typically respond within 24 hours during business days.

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